Industries · Mobility
Vehicle and fleet data that holds up at fleet scale.
We help startups building AI for cars, trucks and fleets get their vehicle data live, clean and trusted — so fleet intelligence, vehicle health and telematics products work across every model, region and road.
Where mobility AI gets stuck
Vehicles are moving, offline and all different. Your data platform has to cope.
Vehicles go offline — constantly
Tunnels, rural roads, parking garages. Data arrives hours late, out of order or twice. A pipeline that expects a perfect stream is wrong every day.
Every model and firmware is different
Signals vary by manufacturer, model year, hardware revision and firmware. Without knowing which vehicle sent what, odd data is impossible to explain.
Data volume grows with every vehicle
Streaming everything at full resolution gets expensive fast. Deciding what stays on the vehicle and what goes to the cloud is a product decision, not just an engineering one.
Different regions, different rules
Fleets that cross borders meet different expectations for where data is stored and who may see it. It's far easier to design for that up front than to retrofit it.
What we build
Physical AI products for cars, trucks and fleets.
Paranjay leads every engagement as your fractional Head of Data & AI, Product or Engineering. Our team builds alongside yours.
Fleet intelligence
Turn vehicle and trip data into decisions fleet managers act on — utilisation, routing patterns, driver behaviour and which vehicles need attention.
Trip data · GPS · Events
Vehicle health & predictive maintenance
Spot developing faults before they become breakdowns, built on the signals and service history that actually predict failure across your fleet.
Vehicle signals · Fault codes · Service records
Connected-vehicle data platforms
Collect, move and store vehicle data reliably — buffering on the vehicle, handling late and duplicate data, and separating real-time from historical analysis.
Telematics · Streaming · Real-time + batch
Edge processing on the vehicle
Process high-volume signals on ready-made in-vehicle hardware and send only what matters — cutting data costs and keeping critical alerts fast.
Telematics units · Edge · OTA updates
Built on real experience
From vehicle signals to the model.
At Volkswagen Group (CARIAD), our founder owned vehicle data collection across the US, Europe and China — a platform with 1M+ endpoints connected at once, collecting petabytes of data a day, processed in real time and in batch. Startups are far smaller, but the same problems appear from the first few hundred vehicles.
How we work
Data first. Then AI.
01 — DIAGNOSE
Find the real problem
Two weeks with your team, your vehicles and your data. A written read on what to fix first — and what to ignore.
02 — BUILD
Ship it with you
Sprint by sprint, with a working demo each time: vehicle data pipelines, models that hold up across your fleet, and edge processing where it pays off.
03 — PROVE
Measure the outcome
Judged on the outcome we named up front — a fleet pilot that converts, fewer breakdowns, a platform ready for your next round.
Why Paranjay
Vehicle data collection across the US, Europe and China — 1M+ endpoints connected at once.
Read Paranjay's story →1M+
endpoints connected at once
PB/day
vehicle data collected
3
regions: US, Europe, China
15+ yrs
building data systems
Related reading
Go deeper.
What Running 1M+ Connected Endpoints Teaches You About Startup Data →
Our founder built a data platform with more than a million endpoints connected at once. Startups are far smaller — but the same lessons apply from the very first device. Here are six of them.
Edge or Cloud? A Founder's Guide for Physical AI Products →
Every physical AI startup hits the same question: should the AI run on the device or in the cloud? The honest answer is usually 'both' — here's a plain-language way to decide what goes where.
What Data to Collect Before You Build Physical AI →
Most physical AI startups collect too little of the right signal and too much of the wrong one. Here's how to decide what to capture from your machines, vehicles or sensors before you train a single model.
Common questions
Questions founders ask us.
Your next step
Building AI for machines, vehicles or energy? Let's talk.
Tell us what you're building and where it's stuck. Paranjay replies personally within 1 business day with a first read on where to focus. No pitch. No pressure.
or email hello@getrightshift.com